{"id":10968,"date":"2022-08-16T13:09:16","date_gmt":"2022-08-16T11:09:16","guid":{"rendered":"https:\/\/www.upm.es\/recursosidi\/offers-resources\/sin categor\u00eda\/artificial-pancreas\/"},"modified":"2022-08-16T13:09:18","modified_gmt":"2022-08-16T11:09:18","slug":"artificial-pancreas","status":"publish","type":"product","link":"https:\/\/www.upm.es\/recursosidi\/en\/offers-resources\/technological-solutions\/artificial-pancreas\/","title":{"rendered":"ARTIFICIAL PANCREAS"},"content":{"rendered":"

\n Brief description of the solution and the added value it delivers<\/strong>
\n <\/h4>\n

The Universidad Polit\u00e9cnica de Madrid<\/a> (UPM), in collaboration with Hospital de Sabadell, has developed a control algorithm that automatically calculates the insulin doses to be administered to individuals with diabetes by a continuous insulin infusion pump, in order to maintain their blood sugar at levels similar to those of a healthy person. The algorithm has been tested on a group of patients at night-time and it was found to increase the time spent at normal blood glucose levels (80-110 mg\/dl) by 340%, with a lower incidence of hypoglycaemic episodes (sudden falls in sugar levels). Insulin pump manufacturers are potential customers for this solution, as it can be integrated into this type of device.<\/p>\n

\n Description of the technological basis<\/strong>
\n <\/h4>\n

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\n Diabetes, control
\n
\n <\/span>The control algorithm is designed to be incorporated directly into a continuous insulin infusion pump or into an external device capable of communicating in real time with the infusion pump and with a continuous glucose monitor. The algorithm is based on prediction rules and techniques. Its operation is personalised for each patient to maintain blood glucose levels within normal limits.<\/p>\n

Its use will help prevent low-glucose (hypoglycaemia) and high-glucose (hyperglycaemia) episodes, most of all at night, which is when patents find it most difficult to recognise their symptoms.<\/p>\n

\n
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\n ‘Automatic algorithm for maintaining glucose levels within normal ranges and minimising the risk of hypo- or hyperglycaemia.’<\/span>
\n <\/em>\n <\/p>\n

\n

\n Business needs \/ application<\/strong>
\n <\/h4>\n